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    std::piecewise_linear_distribution

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    Generación de números pseudoaleatorios
    Motores y adaptadores de motor
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    Engines and engine adaptors
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    (C++11)
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    Generadores
    Original:
    Generators
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    (C++11)
    Distribuciones
    Original:
    Distributions
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    Distribuciones uniformes
    Original:
    Uniform distributions
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    (C++11)
    (C++11)
    (C++11)
    Bernoulli distribuciones
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    Bernoulli distributions
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    (C++11)
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    Poisson distribuciones
    Original:
    Poisson distributions
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    Distribuciones normales
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    Normal distributions
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    Distribuciones de muestreo
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    Sampling distributions
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    Secuencias de semillas
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    Seed Sequences
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    C biblioteca
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    C library
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    std::piecewise_linear_distribution
    Las funciones miembro
    Original:
    Member functions
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    Generación
    Original:
    Generation
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    Características
    Original:
    Characteristics
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    Terceros funciones
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    Non-member functions
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    <tbody> </tbody>
    Definido en el archivo de encabezado <random>
    template< class RealType = double > class piecewise_linear_distribution;
    		 (desde C++11)

    std::piecewise_linear_distribution produces random floating-point numbers, which are distributed according to a linear probability density function within each of the several subintervals [b
    i    , b
    i+1    )    . The distribution is such that the probability density at each interval boundary is exactly the predefined value p
    i    .

    The probability density for any b
    i    ≤x<b
    i+1     is

    p
    i
    b
    i+1    -x
    b
    i+1    -b
    i
    + p
    i+1
    x-b
    i
    b
    i+1    -b
    i

    , where probability densities at interval boundaries p
    k     are calculated as w
    k    /S     where S is the sum of all

    None
    1
    2
    (w
    k    +w
    k+1    )(b
    k+1    −b
    k    )

    .

    The set of interval boundaries b
    i     and the set of weights at boundaries w
    i     are the parameters of this distribution.

    Tipos de miembros

    Miembro de tipo
    Original:
    Member type
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    		 Definition
    result_type RealType
    param_type
    el tipo del conjunto de parámetros, sin especificar
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    the type of the parameter set, unspecified
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    Las funciones miembro
    construye nueva distribución
    Original:
    constructs new distribution
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    (función miembro pública) [editar]
    restablece el estado interno de la distribución
    Original:
    resets the internal state of the distribution
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    (función miembro pública) [editar]
    Generación
    Original:
    Generation
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    		 genera el siguiente número aleatorio en la distribución
    (función miembro pública) [editar]
    Características
    Original:
    Characteristics
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    obtiene la lista de límites del intervalo
    Original:
    obtains the list of interval boundaries
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    (función miembro pública) [editar]
    obtiene la lista de las densidades de probabilidad en los límites de intervalo
    Original:
    obtains the list of probability densities at interval boundaries
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    (función miembro pública) [editar]
    obtiene o establece el objeto de parámetro de distribución
    Original:
    gets or sets the distribution parameter object
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    (función miembro pública) [editar]
    devuelve el valor mínimo potencialmente generado
    Original:
    returns the minimum potentially generated value
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    (función miembro pública) [editar]
    devuelve el valor máximo potencialmente generado
    Original:
    returns the maximum potentially generated value
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    (función miembro pública) [editar]

    Terceros funciones

    		 compara dos objetos de distribución
    (función) [editar]
    		realiza flujo de entrada y salida en la distribución de números pseudo-aleatorios
    (función) [editar]

    Ejemplo

    Ejecuta este código
    #include <iostream>
#include <iomanip>
#include <string>
#include <map>
#include <random>

int main()
{
    std::random_device rd;
    std::mt19937 gen(rd());
    // increase the probability from 0 to 5
    // remain flat from 5 to 10
    // decrease from 10 to 15 at the same rate
    std::vector<double> i{0, 5, 10, 15};
    std::vector<double> w{0, 1,   1, 0};
    std::piecewise_linear_distribution<> d(i.begin(), i.end(), w.begin());

    std::map<int, int> hist;
    for(int n=0; n<10000; ++n) {
        ++hist[d(gen)];
    }
    for(auto p : hist) {
        std::cout << std::setw(2) << p.first << ' ' << std::string(p.second/100,
    }
}

    Salida: 

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